Consensus and Guidelines

Super-Resolution Ultrasound-Based Habitat Imaging: A Consensus Statement

  • Xia ShuJun ,
  • Zheng YuHang ,
  • Hua Qing ,
  • Wei MinYan ,
  • Wen Jing ,
  • Luo XiaoMao ,
  • Yan JiPing ,
  • Bai BaoYan ,
  • Liu Fang ,
  • Dong YiJie ,
  • Zhou JianQiao ,
  • behalf of The Chinese Artificial Intelligence Alliance for Thyroid on ,
  • Ultrasound Breast
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  • aDepartment of Ultrasound, Ruijin Hospital, Shanghai Jiaotong University School of Medicine, Shanghai, China
    bCollege of Health Science and Technology, Shanghai Jiao Tong University School of Medicine, Shanghai, China
    cDepartment of Medical Ultrasound, Affiliated Hospital of Guizhou Medical University, Guiyang, Guizhou, China
    dDepartment of Medical Ultrasound, Yunnan Cancer Hospital & The Third Affiliated Hospital of Kunming Medical University, Kunming, Yunnan, China
    eDepartment of Ultrasound, Shanxi Provincial People's Hospital, Taiyuan, Shanxi, China
    fDepartment of Ultrasound, Affiliated Hospital of Yan'an University, Yan'an, Shaanxi, China
First author contact:

1ShuJun Xia, YuHang Zheng and Qing Hua contributed equally to this study.

Department of Ultrasound, Ruijin Hospital, Shanghai Jiaotong University School of Medicine, 197 Ruijin Er Road, Shanghai, China e-mail: liufangyt@163.com (F Liu);
e-mail: dongyiyin@126.com (YJ D);
e-mail: zhousu30@126.com (JQ Z)

Received date: 2025-02-11

  Revised date: 2025-01-20

  Accepted date: 2025-02-23

  Online published: 2025-05-07

Abstract

Recent advancements in medical imaging have greatly enhanced our understanding of tissue structure and disease mechanisms. Habitat imaging, which segments imaging data into distinct spatial subregions or "habitats," offers valuable insights into the heterogeneous nature of tumors, challenging traditional treatment strategies and supporting precision medicine. Super-resolution ultrasound (SRUS) has emerged as a promising tool for habitat imaging by exceeding the diffraction limits of conventional ultrasound, thus enabling visualization of microcirculation at the micron scale. Unlike MRI, CT, and PET, SRUS offers superior resolution in depicting microvascular structures, providing complementary information that enhances our understanding of tissue perfusion and microcirculatory heterogeneity. SRUS-based habitat imaging can delineate vascular habitats with high precision, supporting dynamic analysis and offering potential benefits in oncology, such as assessing tumor aggressiveness and monitoring therapeutic responses. As SRUS technology continues to mature, it is poised to become an integral part of personalized medicine, with future studies focusing on standardizing protocols and validating biomarkers to integrate SRUS into routine clinical practice.

Cite this article

Xia ShuJun , Zheng YuHang , Hua Qing , Wei MinYan , Wen Jing , Luo XiaoMao , Yan JiPing , Bai BaoYan , Liu Fang , Dong YiJie , Zhou JianQiao , behalf of The Chinese Artificial Intelligence Alliance for Thyroid on , Ultrasound Breast . Super-Resolution Ultrasound-Based Habitat Imaging: A Consensus Statement[J]. ADVANCED ULTRASOUND IN DIAGNOSIS AND THERAPY, 2025 , 9(2) : 97 -102 . DOI: 10.37015/audt.2025.250025

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